GitHub topics: interpretable-models
BirkhoffG/Explainable-ML-Papers
A list of research papers of explainable machine learning.
Size: 13.7 KB - Last synced at: 9 days ago - Pushed at: almost 4 years ago - Stars: 35 - Forks: 3

bgreenwell/ebm
Explainable Boosting Machines
Language: R - Size: 44.5 MB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 1

interpretml/interpret-community
Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
Language: Python - Size: 45.6 MB - Last synced at: 6 months ago - Pushed at: 11 months ago - Stars: 419 - Forks: 85

i6092467/GVAR
An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
Language: Python - Size: 61.6 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 55 - Forks: 18

cwangrun/InterNRL
[TMI 2023] An Interpretable Deep Disease Diagnosis Framework
Language: Python - Size: 135 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

sandareka/CCNN
Comprehensible Convolutional Neural Networks via Guided Concept Learning
Language: Python - Size: 2.76 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 2

rehmanzafar/xai-iml-sota
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
Language: R - Size: 1.12 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 51 - Forks: 13

shinkyo0513/Surgical-Skill-Assessment-via-Video-Semantic-Aggregation
Code for Surgical Skill Assessment via Video Semantic Aggregation (MICCAI 2022)
Language: Python - Size: 3.41 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

maybemkl/wmdecompose
A Python implementation of Word Mover's Distance that decomposes document level WMD into word level WMD for interpretable sociocultural NLP.
Language: Jupyter Notebook - Size: 127 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
